MRI RAPID: ACQUISITION OF A FIELD SPECTROSCOPY ENVIRONMENTAL ANALYSIS SYSTEM FOR GULF OIL SPILL RESEARCH

MRI RAPID：采购用于海湾溢油研究的现场光谱环境分析系统

• 批准号: 1058444
• 负责人: Daan Liang
• 金额: $ 10.29万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1058444&HistoricalAwards=false
• 关键词: MRI; RAPID; ACQUISITION; FIELD; SPECTROSCOPY

This MRI-RAPID award is in response to events subsequent to an explosion on the British Petroleum (BP) Deepwater Horizon Oil Rig in the Gulf of Mexico off the coast of Louisiana. The objective of this proposal is to acquire a Field Spectroscopy Environmental Analysis System to enable collection of highly perishable data on the Deepwater Horizon oil spill. More specifically, the instrument will be used to take in-situ measurements of the spectral response of oil spill and vegetation under stress between 350 nm and 2500 nm. The need for collecting these field samples is urgent due to the rapid evolution of spatial distribution and physical-chemical composition of leaked oil as it begins interacting with the environment and oil collection efforts. The transient and dynamic nature of such a large-scale disaster calls for both immediate and continuous efforts in data collection, benchmarking, and quantitative analysis for monitoring, assessment, and management of the impact of this and future spills. The new instrument will enable the team to take time-sensitive, in-situ measurements of solar reflectance of oil spill in various physical forms (e.g. sheen, patch, tar balls) at various sites (e.g. deep water, shallow water, marshes, and beaches) while recording their geospatial locations. In conjunction with hyperspectral images acquired by satellites and/or aircraft, the team will be able to pursue potentially transformative research in 1) seeking a spectral-spatial solution for achieving more accurate oil distribution mapping in open water; 2) estimating oil slick thickness based on its spectrum and water conditions; 3) assessing the quantity of tar balls onshore using spectral un-mixing to support clean-up activities; and 4) detecting the presence of oil in complex, environmentally sensitive ecosystems. Environmental toxicologists on the team will use the instrument to perform spectral analysis of ecosystems stressed by crude oil. The acquisition of this instrument will significantly enhance the capabilities of the Computer Vision and Image Analysis Laboratory (CVIAL) at Texas Tech University to enable hands-on research experience for graduate and undergraduate students in imaging spectroscopy and hyperspectral remote sensing with broad applications in disaster response, environmental monitoring, and national defense.

这项MRI-RAPID奖是对在路易斯安那州海岸墨西哥湾的英国石油（BP）深水地平线油钻机上发生爆炸后发生的事件的回应。 该提案的目的是获取野外光谱环境分析系统，以便在深水地平线溢油中收集高度易腐的数据。更具体地说，该仪器将用于对350 nm至2500 nm的压力下的漏油和植被的光谱响应进行原位测量。由于空间分布的迅速发展和泄漏的油的物理化学成分开始与环境和油收集工作相互作用，因此需要收集这些现场样本的需求。这种大规模灾难的瞬态和动态性质要求在数据收集，基准测试和定量分析中进行直接和持续的努力，以监视，评估和管理此和未来溢出的影响。 新仪器将使团队能够在各种地点（例如深水，浅水，沼泽，沼泽和海滩）的各种物理形式（例如，光泽，斑块，焦油球）以各种物理形式（例如，光泽，斑块，焦油球）进行太阳能反射的时间敏感，现场测量。结合卫星和/或飞机获得的高光谱图像，该团队将能够在1）寻求光谱空间解决方案中进行潜在的变革性研究，以在开放水中实现更准确的油分配映射； 2）根据其光谱和水条件估算油脂厚度； 3）使用频谱分解以支持清理活动评估陆上柏油球的数量； 4）在复杂的环境敏感生态系统中检测油的存在。 团队中的环境毒理学家将使用该工具对原油强调的生态系统进行光谱分析。 该工具的获取将显着增强德克萨斯理工大学计算机视觉和图像分析实验室（CVIAL）的能力，以使研究生和本科生在成像光谱和高光谱遥感方面的动手研究经验，并在灾难应对，环境监测以及国防部中进行广泛应用。